Loss of Nuclear Basophilic Staining as a Postmortem Interval Marker
Bibliographic record
Abstract
INTRODUCTION: The loss of basophilia (LOB), as an objective marker of postmortem interval (PMI), was evaluated. Such a correlation has been previously reported in stillborn fetuses. METHOD: Loss of basophilia in different tissues was scored using hematoxylin and eosin-stained slides obtained from 65 random autopsy cases. Scatter plots were used to visually assess the correlation of PMI with our LOB scores. Decomposition was assessed using a modified total body score. RESULTS: Loss of basophilia was found to be correlated with PMI (total and unrefrigerated intervals). Specifically in this study, we found full or partial basophilic staining up to 26 hours after death, and complete LOB was seen in cases as early as 36 hours in liver and 60 hours in heart. Loss of basophilia also well correlated with the modified total body score. The LOB varied by tissue and was uncorrelated to histologically observable bacteria and fungi. Refrigeration appeared to stop the autolytic process that causes the LOB. CONCLUSION: Complete LOB can be expected between 1 and 2 days after death in unrefrigerated liver and heart tissues because of autolysis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".